research-article

Recommendation System in Business Intelligence Solutions for Grocery shops: Challenges and Perspective

Authors:

Anas Abdelrazeq, and

Frank HeesAuthors Info & Claims

ICEEG '19: Proceedings of the 3rd International Conference on E-commerce, E-Business and E-Government

June 2019

Pages 53 - 57

https://doi.org/10.1145/3340017.3340030

Published: 18 June 2019 Publication History

Abstract

With the surge in digital platforms and extension of e-commerce, the field of recommendation has been a topic of interest not only for the data scientist but deemed important by the business experts to enhance the user-centric services. A large number of retail & service-oriented companies such as Amazon, Netflix, Goodreads, and Spotify etc. use Business Intelligence (BI) and recommendation systems to provide users with various choices of products based on their interest. Evidently, such a customized user-experience not only provide them with a better service, but also enables the companies to understand customer behavior and enhance their business. The aim of this paper is to introduce a recommendation system in the business intelligence platform to a new-system where no user's previous interaction information is available. We present an exploratory study of implementing recommendation system in the project SmartEmma, a grocery shop application in Aachen, funded by EFRE.NRW, European Union and WIRTSCHAFT.NRW.

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Cited By

Jansen LBennin Kvan Kleef EVan Loo E(2024)Online grocery shopping recommender systems: common approaches and practicesComputers in Human Behavior10.1016/j.chb.2024.108336(108336)Online publication date: Jun-2024
https://doi.org/10.1016/j.chb.2024.108336
Raga ANag ARahul Reddy BShetty DPrashanth BManoj Kumar MDarshan S(2021)GoGet - A Digical Shop Recommendation System to empower Retailers using Machine Learning2021 International Conference on Forensics, Analytics, Big Data, Security (FABS)10.1109/FABS52071.2021.9702606(1-7)Online publication date: 21-Dec-2021
https://doi.org/10.1109/FABS52071.2021.9702606

Index Terms

Recommendation System in Business Intelligence Solutions for Grocery shops: Challenges and Perspective
1. Information systems
  1. Information systems applications
  2. World Wide Web
    1. Web applications
      1. Electronic commerce
        E-commerce infrastructure
        Online shopping

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ICEEG '19: Proceedings of the 3rd International Conference on E-commerce, E-Business and E-Government

June 2019

113 pages

ISBN:9781450362375

DOI:10.1145/3340017

Copyright © 2019 ACM.

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Published: 18 June 2019

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ICEEG 2019

ICEEG 2019: 2019 3rd International Conference on E-commerce, E-Business and E-Government

June 18 - 21, 2019

Lyon, France

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Cited By

Jansen LBennin Kvan Kleef EVan Loo E(2024)Online grocery shopping recommender systems: common approaches and practicesComputers in Human Behavior10.1016/j.chb.2024.108336(108336)Online publication date: Jun-2024
https://doi.org/10.1016/j.chb.2024.108336
Raga ANag ARahul Reddy BShetty DPrashanth BManoj Kumar MDarshan S(2021)GoGet - A Digical Shop Recommendation System to empower Retailers using Machine Learning2021 International Conference on Forensics, Analytics, Big Data, Security (FABS)10.1109/FABS52071.2021.9702606(1-7)Online publication date: 21-Dec-2021
https://doi.org/10.1109/FABS52071.2021.9702606

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